What are the runtime requirements?
Python 3.10 or higher, a valid QMT trading account, and a locally running MiniQMT instance.
@nnquant
Basic information
QMT-MCP-Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"qmt-mcp-server": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
QMT-MCP-Server is a server application based on the Model Context Protocol (MCP) that connects to the Xuntou QMT trading system, enabling large language models to execute stock trading operations. It is intended for learning and exchange purposes only and should be used cautiously in live trading environments.
Install the uv package manager, clone the repository, run uv sync to install dependencies, then execute uv run main.py. On first run, the server prompts for the MiniQMT path and funding account, saving configuration to xttrader.yaml. The server exposes an SSE endpoint at http://localhost:8001/sse for MCP clients.
Python 3.10 or higher, a valid QMT trading account, and a locally running MiniQMT instance.
Configuration (MiniQMT path and funding account) is saved automatically in the `xttrader.yaml` file after the first run.
All stock codes must include the exchange suffix, e.g., `.SH` for Shanghai or `.SZ` for Shenzhen.
Stock names may not be correctly converted to codes by some models; using stock codes is recommended for reliability.
No. The project is for learning and communication only. The author assumes no responsibility for any losses incurred from using this software in live environments.

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